【SD3】超详细使用教程+效果测评 你想看的都在这里
TLDR本期视频介绍了最新开源的Stable Diffusion 3模型，它拥有20亿参数，是文本到图像转换的先进模型。AI小王子详细讲解了如何下载和使用SD3，包括下载Lib Lib AI平台上的模型、配置Comfy UI以及使用不同的工作流。视频还展示了SD3在图像质量、真实度和融合效果上的进步，尽管手部和脚部的细节处理还有待提升。观众被鼓励关注未来SD3大型模型的发展，并期待社区创造更多适配的模型。
Takeaways
- 🌟 Stable Diffusion 3（SD3）是最新开源的文本到图像模型，拥有20亿参数，比之前的SDXL模型有显著进步。
- 🚀 SD3的开源意味着用户无需再购买API，可以自由使用这一强大的模型。
- 🔍 SD3的medium模型是迄今为止最先进的开放模型，未来还将推出参数高达80亿的large模型。
- 📚 官方发布的底膜目前只支持Confi UI使用，YBI适配还需等待。
- 🔍 可以在Lib Lib AI平台下载SD3的底膜，目前有4GB和10GB支持FP8精度的模型。
- 📥 下载的模型需要放置在Comfy UI的根目录下的models/checkpoints目录中。
- 🛠️ 使用小模型时需要文本编码器辅助，可从Hockey face下载CLIP模型。
- 🎨 Comfy UI启动后，可以通过版本管理更新适配SD3的节点，然后一键启动。
- 🖌️ SD3的基础工作流、多重提示词工作流和放大工作流提供了不同的图像生成选项。
- 👀 SD3在图像质量、真实度和融合效果上表现出色，但在手部和脚部的处理上还有改进空间。
- 🌈 SD3的想象力和视觉冲击力有显著提升，面部表情细节也更加生动立体。
- 👏 Stability AI的开源免费使用是对AI社区的巨大贡献，期待未来模型的进一步发展。
Q & A
Stable Diffusion 3是什么？
-Stable Diffusion 3是一款基于文本生成图像的AI模型，它拥有20亿参数，是目前最先进的文本到图像的开放模型之一。
Stable Diffusion 3有哪些不同大小的模型？
-Stable Diffusion 3有多种大小的模型，包括4GB的基础模型，10GB支持FP8精度的模型，以及即将发布的80亿参数的large模型。
在哪里可以下载Stable Diffusion 3的官方模型？
-可以在Lib Lib AI的模型平台上搜索并下载Stable Diffusion 3的官方模型。
下载Stable Diffusion 3模型后，如何使用？
-下载的模型需要放到Comfy UI的根目录下的models/checkpoints目录中，如果是小模型还需要文本编码器CLIP的辅助。
Stable Diffusion 3的YBI适配情况如何？
-目前Stable Diffusion 3的YBI适配还需要等待，官方发布的底膜只支持Confi UI使用。
Stable Diffusion 3的图像生成效果如何？
-Stable Diffusion 3的图像生成效果非常出色，无论是清晰度、细腻度还是人物神色等方面都有显著提升。
Stable Diffusion 3在处理手部和脚部图像时存在哪些问题？
-尽管Stable Diffusion 3在手部和脚部的处理上有所改进，但在某些情况下仍然会出现缺陷，如手脚形状不自然或缺失。
Stable Diffusion 3的语义识别能力如何？
-Stable Diffusion 3的语义识别能力很强，能够识别并生成包含多个元素的复杂图像。
Stable Diffusion 3的开源对AI领域意味着什么？
-Stable Diffusion 3的开源意味着更多的人可以免费使用这一先进的AI技术，促进了AI技术的普及和发展。
Stable Diffusion 3的后续发展有哪些期待？
-期待Stable Diffusion 3的后续发展能够在手部和脚部的处理上更加精细，并且支持更多的语言识别。
如何评价Stable Diffusion 3的开源行为？
-Stable Diffusion 3的开源行为是非常值得赞赏的，它不仅降低了使用门槛，还为AI社区的发展做出了贡献。
Outlines
🚀 Introduction to Stable Diffusion 3 Open Source Model
The video script introduces the Stable Diffusion 3 (SD3) model, an open-source AI model that surpasses previous versions in capabilities and is now freely available, eliminating the need for purchasing APIs. The host, AI Little Prince, provides a walkthrough of the model's unique features and usage tips. The script covers the release of the medium-sized SD3 model with 2 billion parameters, a significant advancement in text-to-image generation compared to the XL model in terms of image quality, realism, and resource consumption. It also mentions the upcoming large model with 8 billion parameters. The host guides viewers on where to download the model from Lib Lib AI and how to set it up with Comfy UI, including details on the different model sizes and the necessity of a text encoder for smaller models. The video promises a demonstration of the model's capabilities and a comparison with previous versions.
🎨 Evaluation of SD3's Image Generation and Text Recognition Abilities
This paragraph delves into the evaluation of SD3's image generation capabilities, focusing on the clarity, detail, and realism of the images produced. The script describes the process of generating images using both the base and larger models, noting the显存 (video memory) usage and the ease of generating images without the need for a text encoder in the case of the largest model. The host tests SD3's text recognition abilities by adding keywords to generate images with specific elements and finds the results to be impressive, with only minor issues in hand and foot depictions. The script also discusses the semantic understanding of the model, as demonstrated by its ability to incorporate multiple elements from a given description into a single image. Despite some imperfections, the overall image quality is praised, and the model's improvements in imagination and visual impact are highlighted. The host expresses gratitude for the open-source release and anticipates future enhancements, especially in the handling of hands and feet, and looks forward to the release of more SD3 models on platforms like BibiBi AI.
Mindmap
Keywords
💡Stable Diffusion 3 (SD3)
💡开源
💡参数
💡图像质量
💡真实度
💡资源消耗
💡Lib Lib AI
💡Comfy UI
💡文本编码器
💡采样器和调度器
💡关键词
Highlights
Stable Diffusion 3 (SD3) is an open-source model superior to SDXL, offering advanced capabilities without the need to purchase APIs.
The presenter, AI Little Prince, introduces the video with a focus on SD3's unique features and usage tips.
SD3's medium model has 2 billion parameters, marking a significant advancement in text-to-image models.
The SD3 large model, with 8 billion parameters, is four times the size of the medium model and is highly anticipated.
The official release of SD3's base model currently only supports ConfidUI, with YBI support to be released later.
SD3's base models are available for download on the Lib Lib AI platform, with two models already synchronized.
The largest SD3 model does not require a text encoder, while the 4GB model does.
For those interested in using SD3 on YBI, the presenter recommends the V3 model image generation tool on Lib Lib AI.
Instructions are provided for downloading and setting up the models in the ConfidUI root directory.
A new 16GB model supporting FP16 precision was released, adding to the available options for users.
The presenter demonstrates how to update and start ConfidUI with the new SD3 models.
Three official workflows for SD3 are introduced: Basic, Multi-Prompt, and Upscaling.
The presenter uses the Basic workflow to demonstrate the generation of an image with the 4GB model.
The use of different CLIP loaders and their impact on performance is discussed.
The presenter tests the image quality and memory usage of the largest model without a text encoder.
SD3's text recognition capabilities are showcased with a demonstration of image generation using keywords.
The presenter evaluates SD3's semantic recognition ability by adding multiple elements to the keywords.
Despite improvements, the presenter notes that there is still room for enhancement in hand and foot depiction.
The overall image quality of SD3 is compared to SDXL, showing significant improvements in color and detail.
The presenter expresses gratitude to Stability AI for open-sourcing such a high-parameter model and encourages support.
The anticipation for the SD3 large model with 8 billion parameters and its potential improvements is highlighted.
The presenter concludes by encouraging viewers to follow for more AI掌控 and ends the video.
